ICLR 2023 Paper Award Winners

The International Conference on Learning Representations (ICLR), the premier gathering of professionals dedicated to the advancement of the many branches of artificial intelligence (AI) and deep learning—announced 4 award-winning papers, and 5 honorable mention paper winners.

Research Reveals Hidden Data Integration and Governance Challenges

StreamSets, a Software AG company, unveiled two reports highlighting the need for modern data integration: “Creating Order from Chaos: Governance in the Data Wild West,” and “Lifting the Lid on the Hidden Data Integration Problem.” This new research shows a widespread lack of data processes and policies among organizations, rising demand for data, and why many organizations fail to use the data at their disposal.

The ML Observability Checklist

This checklist from our friends over at Arize covers the essential elements to consider when evaluating an ML observability platform. Whether you’re readying an RFP or assessing individual platforms, this buyer’s guide can help with product and technical requirements to consider across a number of areas discussed in this useful resource. The machine learning infrastructure ecosystem is confusing, crowded and complex. With so many companies making competing claims and so much at stake when model performance regresses in production, it can be easy to feel overwhelmed. However, the need for better ML observability tools to monitor, troubleshoot, and explain model decisions is clear.

Scale Zeitgeist: AI Readiness Report

Our friends over at Scale are excited to introduce the 2nd edition of Scale Zeitgeist: AI Readiness Report! The company surveyed more than 1,600 executives and ML practitioners to uncover what’s working, what’s not, and the best practices for organizations to deploy AI for real business impact.

How to Scale AI Infrastructure Effectively, Without Sacrificing Cost Efficiency

Read this white paper, “Investing in AI Infrastructure,” from our friends over at IDC and Supermicro that explores how to scale AI infrastructure effectively, without sacrificing cost efficiency.

Deloitte Launches Generative AI Practice to Help Clients Harness the Power of Disruptive New AI Technology

Deloitte announced a new practice designed to help clients harness the power of Generative AI and Foundation Models to exponentially enhance productivity and accelerate the pace of business innovation. The new practice combines the world-class services, AI talent and deep industry experience that enterprise leaders need as they design their Generative AI strategies and leverage the disruptive new technology to create innovative AI-fueled applications.

ChatGPT & LLMs in the Enterprise: Best Practices & Applications

While OpenAI’s ChatGPT, Microsoft’s Bing, and Google’s Bard have received a lot of public attention in the past months, it is important to remember that they are specific products built on top of a class of technologies called Large Language Models (LLMs). Our friends over at Dataiku have put together a new report to learn how to use LLMs like GPT-4 in an enterprise context — beyond the simple web interface provided by products like ChatGPT.

Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload

Grafana Labs, the company behind the open and composable operational dashboards, announced the findings of the Grafana Labs Observability Survey 2023. The report, which focused on the state of observability, found that organizations are challenged by tool sprawl and data source overload, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more.

dbt Labs Report – Opportunities and Challenges for Analytics Engineers

The practice of analytics engineering (made popular by dbt Labs) took the data world by storm last year as the novel approach changed how data professionals work. Today, dbt Labs officially launched the inaugural State of Analytics Engineering report. The report assessed the analytics engineering practice and gathered insights from those actively involved in the day-to-day of data. 

O’Reilly 2023 Tech Trends Report Reveals Growing Interest in Artificial Intelligence Topics, Driven by Generative AI Advancement

O’Reilly, a premier source for insight-driven learning on technology and business, announced the findings of its annual Technology Trends for 2023 report, which examines the most sought-after technology topics consumed by the 2.8 million users on O’Reilly’s online learning platform.